Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement
University at Buffalo, State University of New York · Nanjing University of Information Science and Technology
Abstract
In cloud computing, searchable encryption scheme over outsourced data is a hot research field. However, most existing works on encrypted search over outsourced cloud data follow the model of “one size fits all” and ignore personalized search intention. Moreover, most of them support only exact keyword search, which greatly affects data usability and user experience. So how to design a searchable encryption scheme that supports personalized search and improves user search experience remains a very challenging task. In this paper, for the first time, we study and solve the problem of personalized multi-keyword ranked search over encrypted data (PRSE) while preserving privacy in cloud computing. With the help of…
Citation impact
- FWCI
- 221.44
- Percentile
- 100%
- References
- 35
Authors
5- ZFZhangjie FuCorresponding
University at Buffalo, State University of New York, Nanjing University of Information Science and Technology
- KRKui Ren
University at Buffalo, State University of New York
- JSJiangang Shu
Nanjing University of Information Science and Technology
- XSXingming Sun
Nanjing University of Information Science and Technology
- FHFengxiao Huang
Nanjing University of Information Science and Technology
Topics & keywords
- Computer science
- Encryption
- Cloud computing
- Usability
- Information retrieval
- Personalized search
- Ontology
- Data mining